Frontier Flux Original
DeepSeek released DeepSeek-V4.1-Flash with MIT weights on Hugging Face and API id deepseek-flash. The lab describes a 552B MoE Causal Encoder-Decoder that activates 8B parameters on prefill and 16B on decode, plus a 890-byte global KV cache per token.

Abstract concept art for DeepSeek V4.1-Flash. AI-generated.
Frontier Flux / AI-generated
DeepSeek published DeepSeek-V4.1-Flash on 10 September 2026: MIT-licensed weights on Hugging Face, a technical report, and API access under `deepseek-flash`. The lab frames it as the smallest model in a new architecture family, with native image input and a 1 million token context window.
From the 10 September 2026 announcement: "Introducing DeepSeek-V4.1-Flash: smarter, faster, more efficient. Introducing the smallest model in our new architecture family, with native visual understanding. Designed for greater capability, faster inference, higher throughput, and scaling to larger models."
The official news post and model card fill in the architecture. DeepSeek says V4.1-Flash is a 552B-parameter mixture-of-experts with a Causal Encoder-Decoder layout: 8B active parameters per token during prefill, 16B during decode. Combined with Compressed Sparse Attention 2 and FP4 main KV caching, the card reports a global KV cache of 890 bytes per token, about one quarter of V4-Flash, and a persistent cache footprint about one eighth of that prior Flash generation.
Key facts
How to read this: the hard ship is weights plus API plus a documented CED and KV-cache design. Rank claims versus V4-Pro sit in DeepSeek's tables and announcement copy.
Frontier Flux is independent of DeepSeek. Social posts are the alert; the news page, Hub card, LICENSE file, and API pricing table are the primaries.
Free
Free daily email of model releases, benchmarks, and lab notes from the last 24 hours across OpenAI, Anthropic, DeepMind, Meta, NVIDIA, and more. Capability-first, not company drama.
Opens Buttondown to finish signup. Confirm by email if asked. No ads. Unsubscribe anytime.